Padiush: a platform for ethnobotany research
- Problem
- Ethnobotany research produces a kind of data that's hard to organize: what a person says about a plant — its local name, its uses — has to end up linked to the correct scientific species, without losing what was said in the field. Mercedes, an Avalon partner and biologist, lived this in her thesis: dozens of interviews and thousands of use reports being typed by hand into Excel, with hours of transcription and room for error in every row.
- Build
- We built Padiush, a web platform for ethnobotany research. It designs interview instruments, captures the responses, and — the part Excel doesn't do — reconciles each name reported in the field with its scientific taxon against authorities like World Flora Online and GBIF, always preserving the original name for traceability. From there it calculates the field's quantitative indices (use value, cultural importance, informant consensus factor, among others) and exports tables, charts and matrices ready for R. Laravel and React on the web; a field-capture app is in development.
- Result
- With Padiush, Mercedes processed her thesis data — 89 interviews and 2,457 use reports — and the platform was cited both in her thesis (2025) and in a peer-reviewed scientific article (2026). Together we presented Padiush at the VII Latin American Congress of Ethnobiology (SOLAE) in Tlaxcala, Mexico (2022), and facilitated a course at the VIII Congress, in Antigua Guatemala (2025). We saw the tool was useful beyond ourselves, and wanted to put it within reach of other researchers.
LARAVEL · REACT · RESEARCH · DATA